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PyShield

CI PyPI version License: MIT Python: 3.11+ Managed with uv

PyShield is a developer-focused, open-source static security analysis platform for Python projects, maintained under the ZN-Forge organization.

Its primary purpose is to help developers identify potential security vulnerabilities in their code before reaching production through fast, deterministic AST analysis.


Note

Current Status: Version 0.2.0 (Core Engine, Injection, Secrets, Cryptography, Configuration & Dependencies) PyShield v0.2.0 delivers a complete deterministic security suite: AST-based static analysis, injection prevention (PS10x), secret masking (PS20x), cryptography auditing (PS30x), configuration security (PS70x), and dependency vulnerability & pinning analysis (PS80x) powered by the OSV database with offline support. Future capabilities (SARIF export, React UI, etc.) are planned for upcoming releases.


Core Philosophy

  1. Deterministic-First: Security detection is powered primarily by deterministic AST analysis and strict rules. Findings are verifiable and reproducible.
  2. Local-First & Privacy-Focused: Source code is analyzed entirely on your local machine and is never transmitted to external services.
  3. Secret Protection by Design: Detected secret values and key material are masked in terminal reports and findings to prevent credential exposure.
  4. Core Decoupling: The static security analysis engine is strictly decoupled from presentation, web server, and persistence layers.
  5. Minimal Dependencies: The core analysis leverages Python's built-in ast and standard library to remain fast, lightweight, and maintainable without heavy external HTTP or dependency frameworks.
  6. Zero False-Positive Focus: Rules are designed conservatively to highlight high-confidence security hazards without flooding developers with noise.

Supported Rules

Execution & Code Injection (Phase 1)

Rule ID Name Severity CWE Description
PS101 Dangerous eval() usage CRITICAL CWE-95 Detects calls to built-in eval(), preventing dynamic code execution risks.
PS102 Dangerous exec() usage CRITICAL CWE-95 Detects calls to built-in exec(), preventing dynamic statement execution vulnerabilities.
PS103 Use of os.system() HIGH CWE-78 Detects calls to os.system() which execute commands via shell strings.
PS104 Unsafe subprocess execution HIGH CWE-78 Detects subprocess execution calls configured with shell=True.

Secret & Key Material Detection (Phase 2)

Rule ID Name Severity CWE Description
PS201 Hardcoded Secret / Credential HIGH CWE-798 Detects hardcoded passwords, tokens, secrets, and API keys with entropy filtering and placeholder exclusion.
PS202 Private Key Material CRITICAL CWE-321 Detects hardcoded RSA, EC, DSA, and OpenSSH private key PEM headers and content.
PS203 High-Confidence API Token HIGH CWE-798 Detects provider-specific tokens (AWS, GitHub classic/fine-grained, Slack, Google, Stripe) using strict patterns.

Cryptographic Analysis (Phase 2)

Rule ID Name Severity CWE Description
PS301 Weak Hash Algorithm MEDIUM CWE-328 Detects insecure MD5 and SHA-1 hashing via hashlib (exempts usedforsecurity=False).
PS302 Insecure Cryptographic Algorithm HIGH CWE-327 Detects broken legacy ciphers (DES, 3DES, Blowfish, ARC4) in cryptography and PyCryptodome.
PS303 Insecure Randomness HIGH CWE-338 Detects use of standard pseudo-random random module in security-sensitive contexts (tokens, salts, keys, auth).

Configuration Security (Phase 3)

Rule ID Name Severity CWE Description
PS701 Debug Mode Enabled HIGH CWE-489 Detects DEBUG = True enabled in configuration settings, exposing internal state and traces.
PS702 Insecure TLS Verification HIGH CWE-295 Detects HTTP client calls disabling TLS certificate verification (verify=False).
PS703 Insecure Cookie Configuration MEDIUM CWE-614 Detects disabled secure cookie transmission (SESSION_COOKIE_SECURE = False, etc.).
PS704 Insecure Host / Origin Wildcard HIGH CWE-346 Detects wildcard host/CORS origins (ALLOWED_HOSTS = ["*"], CORS_ALLOW_ALL_ORIGINS = True).

Dependency Security (Phase 3)

Rule ID Name Severity CWE Description
PS801 Known Vulnerable Dependency HIGH CWE-1395 Identifies dependencies with known published vulnerabilities via the OSV database.
PS802 Unpinned Dependency MEDIUM CWE-1104 Detects dependencies declared without meaningful version constraints in requirements.txt / pyproject.toml.

Supported Dependency Sources

PyShield automatically discovers and analyzes the following dependency sources:

  • requirements.txt (and requirements*.txt): Line-by-line PEP 508 parsing with comment and environment marker support.
  • pyproject.toml: Standard PEP 621 [project.dependencies], [project.optional-dependencies], and [dependency-groups].
  • uv.lock: Precise resolved version verification (uv.lock is treated as the authoritative resolved source and is exempt from unpinned alerts).

Installation

PyShield can be installed from PyPI using pip or uv:

# Using pip
pip install pyshield-security

# Using uv
uv add pyshield-security

# Or as a global CLI tool using uv:
uv tool install pyshield-security

Note

The PyPI distribution package name is pyshield-security. The command-line command is pyshield, and the Python import package is pyshield:

pyshield --version
import pyshield

Development Setup

For local development or contributing, clone the repository and synchronize the isolated virtual environment using uv:

Prerequisites

  • Python 3.11 or higher
  • uv package manager

Setup

git clone https://github.com/ZN-Forge/pyshield.git
cd pyshield
uv sync

This creates a project-local .venv/ containing all runtime and development dependencies locked in uv.lock.


CLI Usage

Check Version

# Direct CLI command (if installed via pip or uv tool):
pyshield --version

# Or inside the local development environment:
uv run pyshield --version

Scan Current Directory

uv run pyshield scan .

Scan Specific Directory or File

uv run pyshield scan src/
uv run pyshield scan app/main.py

CLI Options

Usage: pyshield scan [OPTIONS] [PATHS]...

Arguments:
  [PATHS]...                    One or more paths to scan (default: current directory)

Options:
  --fail-on [LOW|MEDIUM|HIGH|CRITICAL]
                                Minimum severity to trigger non-zero exit code [default: LOW]
  -e, --exclude TEXT            Additional glob patterns or directories to exclude
  -d, --disable-rule TEXT       Rule ID to disable (e.g. -d PS101)
  --enable-rule TEXT            Explicit rule ID to run (e.g. --enable-rule PS103)
  --offline                     Run in offline mode without querying external vulnerability databases
  --help                        Show help message and exit

Exit Codes

  • 0: Scan completed successfully; no findings at or above configured failure threshold.
  • 1: Security findings detected at or above configured failure threshold.
  • 2: Fatal error (target path not found, or all target files failed parsing).

Development & Quality Gates

PyShield enforces strict quality gates before any code is merged:

# Run tests with coverage
uv run pytest --cov=pyshield --cov-report=term-missing

# Run Ruff linter
uv run ruff check .

# Run Ruff format check
uv run ruff format --check .

# Run strict type checking
uv run mypy src

Planned Architecture (Future Phases)

The following capabilities are deliberately planned for subsequent phases:

  • Phase 1 (Completed): Core static analysis engine, rule registry, injection rules (PS101PS104), CLI, and terminal reporter.
  • Phase 2 (Completed): Secret detection engine (PS201PS203) and Cryptography rules (PS301PS303) with zero leakage protection.
  • Phase 3 (Completed): Dependency vulnerability scanning (PS801), pinning analysis (PS802), and Configuration security rules (PS701PS704) with offline mode.
  • Phase 4+: Standard SARIF, JSON, and Markdown export formats.
  • Phase 5+: Optional Local AI analysis layer (via Ollama / llama.cpp) to explain and contextualize deterministic findings.
  • Phase 6+: Local Web UI (React + TypeScript + Vite + Tailwind CSS) with FastAPI backend and SQLite persistence.
  • Phase 7+: Comprehensive product/documentation website on GitHub Pages and contributor ecosystem.

License

This project is licensed under the MIT License.

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